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Senior Python Data Science Jobs in Utah (NOW HIRING)

... science and advanced analytics for large manufacturing and retail company. Employ Artificial ... Use Python and SQL to model real-world outcomes. Employ PySpark for distributed data processing on ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Writing sophisticated, production-grade Python code to automate data orchestration and processing ... Bachelor's degree in Computer Science, Data Science, or a related technical field (or equivalent ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Writing sophisticated, production-grade Python code to automate data orchestration and processing ... Bachelor's degree in Computer Science, Data Science, or a related technical field (or equivalent ...

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Writing sophisticated, production-grade Python code to automate data orchestration and processing ... Bachelor's degree in Computer Science, Data Science, or a related technical field (or equivalent ...

You will leverage your deep expertise in data science, applied AI, and machine learning to solve ... Proficiency in Python and interactive development environments (e.g., Jupyter or similar)

... Python predictive modeling • Demonstrated competency in RDBMS (e.g. SQL Server) • Ability to ... • Master of Science degree or higher in the fields of Computer Science, Statistics, or ...

Senior Data Analyst

Murray, UT · On-site +1

$80K - $101K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field ... Strong proficiency in data analysis tools such as SQL and programming languages such as Python or R ...

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Required : • Bachelor's or Master's degree in Data Science, Information Systems, or a related ... • Strong Python for data engineering (modular, testable pipeline code) • Hands-on dbt ...

Manage the execution of data science strategies and initiatives, including the design, development ... Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

... computer science, mathematical, predictive modeling and statistical methods, & knowledge. This ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

... computer science, mathematical, predictive modeling and statistical methods, & knowledge. This ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

You'll work directly with senior leadership - including the COO, SVPs, and VPs - to deliver high ... Hands-on experience with Python and/or R for data analysis and statistical modeling. * Experience ...

... computer science, mathematical, predictive modeling and statistical methods, & knowledge. This ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Qualifications: * 5+ years of experience in data science or a related field * Expert SQL and Python proficiency * Strong background in causal inference statistics * Experience with A/B testing ...

Qualifications: * 5+ years of experience in data science or a related field * Expert SQL and Python proficiency * Strong background in causal inference statistics * Experience with A/B testing ...

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Senior Python Data Science information

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

What are the most commonly searched types of Python Data Science jobs in Utah? The most popular types of Python Data Science jobs in Utah are:
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Data Science Manager, Market Delivery

Data Science Manager, Market Delivery

Strider Technologies, Inc

South Jordan, UT • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Strider Technologies delivers strategic intelligence that helps organizations make faster, more confident decisions in an increasingly complex global environment. Using cutting-edge AI and proprietary methodologies, we transform open-source data into actionable insights that help protect technology, talent, and supply chains from nation-state risks.
About the Role
Strider is looking for an Applied Intelligence Manager to own NORAM Market Delivery - the function that sits at the intersection of data science, product, and commercial outcomes. This is not a traditional market-facing role. It is a builder's role. The person who succeeds here has deep technical fluency in data and AI systems, sharp commercial instincts, and the judgment to distinguish custom work that drives strategic value from work that does not.
Market Delivery is an extension of the product organization. This team does not advise, consult, or manage delivery from a distance. They build working solutions alongside Engineering, Growth, and CS - solutions that generate direct ARR, feed the product roadmap, or accelerate the commercial motion in government and enterprise accounts.
NORAM is a mature market for Strider. The product largely exists, the client base is established, and the bar for custom work is high. The work here is at the edges - extending what is already built, executing high-value engagements for strategic accounts, and ensuring the intelligence flowing back from clients is shaping what we build next.
What You Will Do
Own the NORAM commercial delivery motion. Partner closely with Growth and CS to identify where custom work creates outsized commercial value - contract expansions, Gov engagements, strategic new logos - and execute it. This team is accountable to measurable ARR contribution, not just activity.
Build working solutions on top of Strider's data infrastructure. Apply data science and AI methods to extend Strider's products for client-specific use cases. That includes entity resolution, risk scoring models, knowledge graph enrichment, and AI-augmented workflows. You are building on the platform, not around it.
Support pre-sale POCs and custom technical engagements. Bring the technical depth clients need to trust that Strider can solve their specific problem. You are the person in the room who can go from a client brief to a working prototype to a commercial outcome.
Feed signal back to the product team. What you learn in client conversations, deployments, and custom engagements is only valuable if it reaches the PMs in a form they can act on. Translating market signal into actionable product requirements is a core part of the job.
Own government delivery alongside the Gov team. Work as an integrated execution partner on government engagements - not independently. Understand the platform deeply enough to build solutions that are reusable across Gov opportunities rather than one-off.
Partner cross-functionally across Product, Engineering, Growth, and CS. This role sits at the seam of multiple functions. The ability to operate credibly in a client conversation, a technical architecture discussion, and a roadmap review in the same week is the job.
What You Will Need to Be Successful
  • 5+ years of hands-on data science or applied AI experience, including production-grade model development and deployment.
  • Demonstrated success applying data science methods to commercial problems - entity resolution, risk modeling, knowledge graphs, or similar domains.
  • Deep expertise in Python. Familiarity with search infrastructure (Elasticsearch), graph-based methods, or distributed data frameworks (Spark, Ray) is a strong plus.
  • The ability to move between technical work and client-facing conversations without losing credibility in either. You can explain what you built, why you built it that way, and what it means for the client's problem.
  • Commercial fluency. You understand what makes a client engagement strategic versus transactional, and you bring that judgment to decisions about what work to take on.
  • Proven ability to take an ambiguous brief, define the technical problem, and deliver something that works and that people actually use.
  • Experience working alongside or directly supporting government clients is strongly preferred.
  • Background in intelligence, national security, supply chain risk, or a related domain is a significant plus.

Why This Role
  • You will work at the intersection of AI, data science, and strategic intelligence - applying methods that matter to problems with real stakes.
  • You will have direct commercial accountability and the autonomy to define what NORAM Market Delivery looks like as Strider scales.
  • You will work closely with a product team that treats data fluency as a prerequisite, not a differentiator - and with clients who are operating in the highest-stakes environments in the world.
  • You will be part of a company transitioning from smart people solving hard problems to smart systems solving them at scale - and this role is central to that transition.

Benefits
  • Competitive Compensation
  • Company Equity Options
  • Flexible PTO
  • Wellness Reimbursement
  • US Holidays (Office Closed)
  • Paid Parental Leave
  • Comprehensive Medical, Dental, and Vision Insurance
  • 401(k) Plan

Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.